The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Infrastructure to support 'views' used to classify Bioconductor packages. 'biocViews' are directed acyclic graphs of terms from a controlled vocabulary. There are three major classifications, corresponding to 'software', 'annotation', and '
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.
BiocManager::install("biocViews")genReposControlFiles and writeRepositoryHtml.extractVignettes.BiocViews objects for specific top-level terms (e.g., "Software") using getBiocSubViews.graphNEL object using getSubTerms.BiocCheck or devtools instead because biocViews focuses on repository HTML and vocabulary generation.BiocPkgTools instead because biocViews generates static HTML views.src/contrib) and binary packages (bin/windows/contrib, bin/macosx/contrib).biocViewsVocab.dot) which is converted to a graphNEL object.getSubTerms.writeBiocViews.src/contrib and bin directories before running genReposControlFiles.extractVignettes before generating the repository HTML.getBiocSubViews with a valid graphNEL vocabulary object (like biocViewsVocab) to categorize packages.writeBiocViews pointing to a dedicated output directory.genReposControlFiles without the correct contribPaths names. Fix: Ensure the contribPaths vector has exact names like "source", "win.binary", and "mac.binary".dot2gxl from graphviz is installed and on your PATH.This skill is the knowledge layer — when, why, and how to use biocviews. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.